Staff ML Engineer

🕒 September 23

🇺🇸 United States – Remote

💵 $130k - $190k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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👻 Ghost score 6%

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Press Ganey

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1985

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Press Ganey is a leading provider of patient experience measurement, performance analytics, and strategic advisory solutions for healthcare organizations. The company focuses on improving the overall healthcare experience through advanced analytics and human-centered insights, helping clients enhance patient and workforce safety, employee experience, and organizational growth. With a data-driven approach, they provide interactive dashboards, industry benchmarks, and actionable insights to drive measurable impact across the healthcare sector. Press Ganey collaborates with healthcare providers, health plans, and life sciences organizations to transform care delivery and improve human experiences in healthcare.

📋 Description

• Design, build, and deploy production-ready AI agents and agentic workflows integrated with enterprise applications and business processes • Establish evaluation, monitoring, guardrail, and safety frameworks for LLM-powered applications • Architect and implement scalable AI-enabled capabilities within the existing Java/Spring platform and distributed microservices ecosystem • Establish engineering best practices for AI Agent systems, including observability, testing, deployment, versioning, and operational excellence • Drive architectural decisions across AI services, microservices, APIs, and enterprise application integrations • Collaborate with AI Scientists and ML Engineers to productionize models and translate experimentation into reliable software • Mentor engineers, lead architectural reviews, and influence technical strategy across teams • Evaluate emerging AI technologies and recommend pragmatic adoption strategies to improve product capabilities and developer productivity

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience • 8+ years of professional software engineering experience, including leading complex technical initiatives in distributed systems • Strong proficiency in Python, Java, and the Spring ecosystem, including Spring Boot and Spring Framework • Experience building and evolving enterprise-scale applications • Deep expertise building scalable, production-grade AI-enabled applications and distributed systems • Experience architecting and deploying AI agents, agentic workflows, and LLM-powered applications at enterprise scale • Hands-on experience integrating AI capabilities into existing enterprise applications • Extensive experience designing and deploying production-grade LLM applications using LangChain, LangGraph, Spring AI, Model Context Protocol (MCP), or similar technologies • Strong understanding of Retrieval-Augmented Generation (RAG), tool calling, MCP, prompt engineering, and agent orchestration • Expertise in observability, CI/CD, automated testing, and production operations for AI applications • Proven ability to navigate ambiguity, reduce technical risk, and influence architectural direction across cross-functional teams • Excellent communication, collaboration, and mentoring skills • Experience with Databricks, vector search technologies, embedding models, conversational AI, and evaluation strategies for AI agents preferred • Experience building AI infrastructure, developer tooling, and platform capabilities preferred • Experience architecting and maintaining large-scale Java microservices using Spring Boot preferred • Experience with AWS, Azure, or GCP, Kubernetes, and containerized deployments preferred • Familiarity with model serving, inference optimization, caching strategies, and cost optimization for enterprise AI systems preferred

🏖️ Benefits

• Competitive benefits package • Discretionary bonus or commission tied to achieved results • Reasonable accommodations for qualified individuals with disabilities or disabled veterans in the hiring process

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